Mathematical theory for communication systems with multiple terminals and lossy recovery

I work in information theory, which is related with understanding the communication systems with mathematical tools. The study of information theory was initiated by Claude Shannon, who first proposed to study the communication systems in a mathematical way and established the foundation of the area. This line of research is actually closely related with our daily life, since some ideas in information theory have already been successfully used in the modern communication systems, which provide us the cellular and network services.

To be more specific, my work actually focuses on how to compress information efficiently and reliably and what is the fundamental limit one can achieve. Think of the compression of videos as an example. A high-quality video normally has a very big size and if we can tolerate some distortion, then we can compress the video and save a lot of spaces. Motivated by many daily life examples, I focus on deriving the optimal performance of communication systems which compress information efficiently and reliably in a lossy manner and providing insights about the design of practical systems.

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